| 書目名稱 | Probabilistic Causality in Longitudinal Studies |
| 編輯 | Mervi Eerola |
| 視頻video | http://file.papertrans.cn/757/756788/756788.mp4 |
| 叢書名稱 | Lecture Notes in Statistics |
| 圖書封面 |  |
| 描述 | In many applied fields of statistics the concept of causality is central to a scientific investigation. The author‘s aim in this book is to extend the classical theories of probabilistic causality to longitudinal settings and to propose that interesting causal questions can be related to causal effects which can change in time. .The proposed prediction method in this study provides a framework to study the dynamics and the magnitudes of causal effects in a series of dependent events. Its usefulness is demonstrated by the analysis of two examples both drawn from biomedicine, one on bone marrow transplants and one on mental hospitalization. .Consequently, statistical researchers and other scientists concerned with identifying causal relationships will find this an interesting and new approach to this problem. |
| 出版日期 | Book 1994 |
| 關(guān)鍵詞 | Censoring; Logistic Regression; Longitudinal studies; Randomized experiment; innovation; point process; st |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4612-2684-0 |
| isbn_softcover | 978-0-387-94367-1 |
| isbn_ebook | 978-1-4612-2684-0Series ISSN 0930-0325 Series E-ISSN 2197-7186 |
| issn_series | 0930-0325 |
| copyright | Springer-Verlag New York, Inc. 1994 |
|Archiver|手機(jī)版|小黑屋|
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